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  Attribute Prototype Network for Any-Shot Learning

Xu, W., Xian, Y., Wang, J., Schiele, B., & Akata, Z. (2022). Attribute Prototype Network for Any-Shot Learning. International Journal of Computer Vision, 130, 1735-1753. doi:10.1007/s11263-022-01613-9.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-9DCD-F Version Permalink: https://hdl.handle.net/21.11116/0000-000E-2197-2
Genre: Journal Article

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Locator:
https://rdcu.be/cP4sK (Publisher version)
Description:
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OA-Status:
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 Creators:
Xu, Wenjia1, Author           
Xian, Yongqin1, Author           
Wang, Jiuniu1, Author
Schiele, Bernt2, Author                 
Akata, Zeynep2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 2022
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/s11263-022-01613-9
BibTex Citekey: Xu22
 Degree: -

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Project name : DEXIM
Grant ID : 853489
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: International Journal of Computer Vision
  Other : Int. J. Comput. Vis.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York, NY : Springer
Pages: - Volume / Issue: 130 Sequence Number: - Start / End Page: 1735 - 1753 Identifier: ISSN: 0920-5691
CoNE: https://pure.mpg.de/cone/journals/resource/954925564668